Pandas Profiling Report

Dataset statistics

Number of variables	11
Number of observations	935
Missing cells	272
Missing cells (%)	2.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	80.5 KiB
Average record size in memory	88.1 B

Variable types

Numeric	9
Categorical	2

Warnings

`IQ` is highly correlated with `educ`	High correlation
`educ` is highly correlated with `IQ`	High correlation
`meduc` is highly correlated with `feduc`	High correlation
`feduc` is highly correlated with `meduc`	High correlation
`IQ` is highly correlated with `educ`	High correlation
`educ` is highly correlated with `IQ`	High correlation
`meduc` is highly correlated with `feduc`	High correlation
`feduc` is highly correlated with `meduc`	High correlation
`tenure` is highly correlated with `exper`	High correlation
`exper` is highly correlated with `tenure` and 2 other fields	High correlation
`meduc` is highly correlated with `feduc`	High correlation
`feduc` is highly correlated with `meduc`	High correlation
`black` is highly correlated with `IQ`	High correlation
`age` is highly correlated with `exper`	High correlation
`IQ` is highly correlated with `black` and 1 other fields	High correlation
`educ` is highly correlated with `exper` and 1 other fields	High correlation
`meduc` has 78 (8.3%) missing values	Missing
`feduc` has 194 (20.7%) missing values	Missing
`tenure` has 30 (3.2%) zeros	Zeros

Reproduction

Analysis started	2022-01-19 20:47:15.491146
Analysis finished	2022-01-19 20:47:28.344660
Duration	12.85 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

wage
Real number (ℝ_≥0)

Distinct	449
Distinct (%)	48.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	957945.4545

Minimum	115000
Maximum	3078000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	115000
5-th percentile	437900
Q1	669000
median	905000
Q3	1160000
95-th percentile	1695500
Maximum	3078000
Range	2963000
Interquartile range (IQR)	491000

Descriptive statistics

Standard deviation	404360.8225
Coefficient of variation (CV)	0.4221125749
Kurtosis	2.717581799
Mean	957945.4545
Median Absolute Deviation (MAD)	249000
Skewness	1.201186794
Sum	895679000
Variance	1.635076748 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000000	31	3.3%
1250000	17	1.8%
800000	15	1.6%
500000	13	1.4%
962000	13	1.4%
1442000	12	1.3%
600000	11	1.2%
900000	11	1.2%
750000	11	1.2%
1200000	10	1.1%
Other values (439)	791	84.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
115000	1	0.1%
200000	1	0.1%
233000	1	0.1%
260000	1	0.1%
265000	1	0.1%
289000	1	0.1%
300000	1	0.1%
310000	1	0.1%
318000	1	0.1%
325000	2	0.2%

Value	Count	Frequency (%)
3078000	2	0.2%
2771000	1	0.1%
2668000	1	0.1%
2500000	2	0.2%
2404000	2	0.2%
2310000	1	0.1%
2308000	1	0.1%
2162000	3	0.3%
2137000	4	0.4%
2099000	1	0.1%

hours
Real number (ℝ_≥0)

Distinct	37
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.92941176

Minimum	20
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	20
5-th percentile	38
Q1	40
median	40
Q3	48
95-th percentile	60
Maximum	80
Range	60
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	7.224255863
Coefficient of variation (CV)	0.1644514591
Kurtosis	4.18664052
Mean	43.92941176
Median Absolute Deviation (MAD)	0
Skewness	1.596175194
Sum	41074
Variance	52.18987278
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
40	497	53.2%
45	97	10.4%
50	91	9.7%
55	41	4.4%
48	35	3.7%
60	32	3.4%
44	19	2.0%
38	15	1.6%
43	14	1.5%
35	11	1.2%
Other values (27)	83	8.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1	0.1%
23	1	0.1%
24	1	0.1%
25	1	0.1%
27	2	0.2%
30	7	0.7%
32	5	0.5%
34	1	0.1%
35	11	1.2%
36	4	0.4%

Value	Count	Frequency (%)
80	4	0.4%
75	2	0.2%
70	7	0.7%
65	7	0.7%
64	1	0.1%
61	1	0.1%
60	32	3.4%
59	1	0.1%
58	2	0.2%
56	3	0.3%

IQ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.2823529

Minimum	50
Maximum	145
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	50
5-th percentile	74
Q1	92
median	102
Q3	112
95-th percentile	124.3
Maximum	145
Range	95
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	15.05263637
Coefficient of variation (CV)	0.148620524
Kurtosis	-0.01664359899
Mean	101.2823529
Median Absolute Deviation (MAD)	10
Skewness	-0.3409718687
Sum	94699
Variance	226.5818617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96	35	3.7%
104	35	3.7%
109	33	3.5%
98	30	3.2%
97	28	3.0%
110	28	3.0%
105	27	2.9%
106	26	2.8%
101	23	2.5%
108	22	2.4%
Other values (70)	648	69.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
50	1	0.1%
54	1	0.1%
55	1	0.1%
59	1	0.1%
60	1	0.1%
61	1	0.1%
62	2	0.2%
63	1	0.1%
64	2	0.2%
65	1	0.1%

Value	Count	Frequency (%)
145	1	0.1%
137	1	0.1%
134	4	0.4%
132	5	0.5%
131	4	0.4%
130	3	0.3%
129	4	0.4%
128	4	0.4%
127	6	0.6%
126	4	0.4%

educ
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.4684492

Minimum	9
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	9
5-th percentile	11
Q1	12
median	12
Q3	16
95-th percentile	18
Maximum	18
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.196653882
Coefficient of variation (CV)	0.1630962741
Kurtosis	-0.7348626865
Mean	13.4684492
Median Absolute Deviation (MAD)	1
Skewness	0.5486765038
Sum	12593
Variance	4.825288278
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
12	393	42.0%
16	150	16.0%
13	85	9.1%
14	77	8.2%
18	57	6.1%
15	45	4.8%
11	43	4.6%
17	40	4.3%
10	35	3.7%
9	10	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	10	1.1%
10	35	3.7%
11	43	4.6%
12	393	42.0%
13	85	9.1%
14	77	8.2%
15	45	4.8%
16	150	16.0%
17	40	4.3%
18	57	6.1%

Value	Count	Frequency (%)
18	57	6.1%
17	40	4.3%
16	150	16.0%
15	45	4.8%
14	77	8.2%
13	85	9.1%
12	393	42.0%
11	43	4.6%
10	35	3.7%
9	10	1.1%

exper
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.56363636

Minimum	1
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	8
median	11
Q3	15
95-th percentile	19
Maximum	23
Range	22
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.374586384
Coefficient of variation (CV)	0.3783054263
Kurtosis	-0.5637954492
Mean	11.56363636
Median Absolute Deviation (MAD)	3
Skewness	0.07780088502
Sum	10812
Variance	19.13700603
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
11	89	9.5%
9	82	8.8%
8	72	7.7%
10	72	7.7%
16	68	7.3%
12	65	7.0%
13	62	6.6%
15	60	6.4%
7	54	5.8%
14	54	5.8%
Other values (12)	257	27.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12	1.3%
3	1	0.1%
4	29	3.1%
5	30	3.2%
6	48	5.1%
7	54	5.8%
8	72	7.7%
9	82	8.8%
10	72	7.7%
11	89	9.5%

Value	Count	Frequency (%)
23	2	0.2%
22	3	0.3%
21	12	1.3%
20	14	1.5%
19	23	2.5%
18	30	3.2%
17	53	5.7%
16	68	7.3%
15	60	6.4%
14	54	5.8%

tenure
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	23
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.234224599

Minimum	0
Maximum	22
Zeros	30
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	7
Q3	11
95-th percentile	16
Maximum	22
Range	22
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.075205802
Coefficient of variation (CV)	0.701554912
Kurtosis	-0.7985985761
Mean	7.234224599
Median Absolute Deviation (MAD)	4
Skewness	0.4325322037
Sum	6764
Variance	25.75771393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
1	104	11.1%
2	93	9.9%
3	72	7.7%
9	71	7.6%
5	68	7.3%
4	59	6.3%
10	58	6.2%
7	56	6.0%
12	53	5.7%
8	48	5.1%
Other values (13)	253	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	30	3.2%
1	104	11.1%
2	93	9.9%
3	72	7.7%
4	59	6.3%
5	68	7.3%
6	19	2.0%
7	56	6.0%
8	48	5.1%
9	71	7.6%

Value	Count	Frequency (%)
22	1	0.1%
21	2	0.2%
20	4	0.4%
19	6	0.6%
18	14	1.5%
17	9	1.0%
16	22	2.4%
15	38	4.1%
14	28	3.0%
13	40	4.3%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.0802139

Minimum	28
Maximum	38
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	28
5-th percentile	29
Q1	30
median	33
Q3	36
95-th percentile	38
Maximum	38
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.107803254
Coefficient of variation (CV)	0.09394749573
Kurtosis	-1.257093959
Mean	33.0802139
Median Absolute Deviation (MAD)	3
Skewness	0.1187358742
Sum	30930
Variance	9.658441068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
30	120	12.8%
32	99	10.6%
38	99	10.6%
31	98	10.5%
36	95	10.2%
29	86	9.2%
37	82	8.8%
33	81	8.7%
34	69	7.4%
35	61	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28	45	4.8%
29	86	9.2%
30	120	12.8%
31	98	10.5%
32	99	10.6%
33	81	8.7%
34	69	7.4%
35	61	6.5%
36	95	10.2%
37	82	8.8%

Value	Count	Frequency (%)
38	99	10.6%
37	82	8.8%
36	95	10.2%
35	61	6.5%
34	69	7.4%
33	81	8.7%
32	99	10.6%
31	98	10.5%
30	120	12.8%
29	86	9.2%

married
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

1	835
0	100

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	935
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

Most occurring characters

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	935	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	935	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	935	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	835	89.3%
0	100	10.7%

black
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	7.4 KiB

0	815
1	120

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	935
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

Most occurring characters

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	935	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	935	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	935	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	815	87.2%
1	120	12.8%

meduc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	2.2%
Missing	78
Missing (%)	8.3%
Infinite	0
Infinite (%)	0.0%
Mean	10.68261377

Minimum	0
Maximum	18
Zeros	3
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	8
median	12
Q3	12
95-th percentile	16
Maximum	18
Range	18
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.849756291
Coefficient of variation (CV)	0.2667658265
Kurtosis	0.9440547428
Mean	10.68261377
Median Absolute Deviation (MAD)	1
Skewness	-0.4977403036
Sum	9155
Variance	8.121110917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
12	357	38.2%
8	129	13.8%
10	65	7.0%
11	56	6.0%
9	47	5.0%
16	42	4.5%
7	31	3.3%
6	30	3.2%
14	28	3.0%
13	21	2.2%
Other values (9)	51	5.5%
(Missing)	78	8.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	0.3%
1	1	0.1%
2	5	0.5%
3	9	1.0%
4	6	0.6%
5	8	0.9%
6	30	3.2%
7	31	3.3%
8	129	13.8%
9	47	5.0%

Value	Count	Frequency (%)
18	5	0.5%
17	7	0.7%
16	42	4.5%
15	7	0.7%
14	28	3.0%
13	21	2.2%
12	357	38.2%
11	56	6.0%
10	65	7.0%
9	47	5.0%

feduc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	2.4%
Missing	194
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	10.21727395

Minimum	0
Maximum	18
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.4 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	8
median	10
Q3	12
95-th percentile	16
Maximum	18
Range	18
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.300699945
Coefficient of variation (CV)	0.323050939
Kurtosis	-0.0283119831
Mean	10.21727395
Median Absolute Deviation (MAD)	2
Skewness	-0.04346897555
Sum	7571
Variance	10.89462013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
12	216	23.1%
8	122	13.0%
10	77	8.2%
6	41	4.4%
11	40	4.3%
9	39	4.2%
16	38	4.1%
7	37	4.0%
14	28	3.0%
5	22	2.4%
Other values (8)	81	8.7%
(Missing)	194	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
2	8	0.9%
3	9	1.0%
4	17	1.8%
5	22	2.4%
6	41	4.4%
7	37	4.0%
8	122	13.0%
9	39	4.2%
10	77	8.2%

Value	Count	Frequency (%)
18	16	1.7%
17	6	0.6%
16	38	4.1%
15	7	0.7%
14	28	3.0%
13	17	1.8%
12	216	23.1%
11	40	4.3%
10	77	8.2%
9	39	4.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	wage	hours	IQ	educ	exper	tenure	age	married	black	meduc	feduc
0	769000.0	40	93	12	11	2	31	1	0	8.0	8.0
1	808000.0	50	119	18	11	16	37	1	0	14.0	14.0
2	825000.0	40	108	14	11	9	33	1	0	14.0	14.0
3	650000.0	40	96	12	13	7	32	1	0	12.0	12.0
4	562000.0	40	74	11	14	5	34	1	0	6.0	11.0
5	1400000.0	40	116	16	14	2	35	1	1	8.0	NaN
6	600000.0	40	91	10	13	0	30	0	0	8.0	8.0
7	1081000.0	40	114	18	8	14	38	1	0	8.0	NaN
8	1154000.0	45	111	15	13	1	36	1	0	14.0	5.0
9	1000000.0	40	95	12	16	16	36	1	0	12.0	11.0

Last rows

	wage	hours	IQ	educ	exper	tenure	age	married	black	meduc	feduc
925	645000.0	45	93	12	11	3	35	1	0	7.0	8.0
926	788000.0	40	100	11	15	6	32	1	1	9.0	NaN
927	644000.0	42	101	12	11	5	33	1	0	12.0	NaN
928	477000.0	45	100	12	9	3	31	1	0	7.0	7.0
929	664000.0	60	82	16	10	9	34	1	1	16.0	16.0
930	520000.0	40	79	16	6	1	30	1	1	11.0	NaN
931	1202000.0	40	102	13	10	3	31	1	0	8.0	6.0
932	538000.0	45	77	12	12	10	28	1	1	7.0	NaN
933	873000.0	44	109	12	12	12	28	1	0	NaN	11.0
934	1000000.0	40	107	12	17	18	35	1	0	NaN	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows